{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import zipfile\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_zip = zipfile.ZipFile('training.zip')\n",
    "train_zip.extractall()\n",
    "\n",
    "test_zip = zipfile.ZipFile('test.zip')\n",
    "test_zip.extractall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data = pd.read_csv('training.csv')\n",
    "test_data = pd.read_csv('test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>left_eye_center_x</th>\n",
       "      <td>66.0336</td>\n",
       "      <td>64.3329</td>\n",
       "      <td>65.0571</td>\n",
       "      <td>65.2257</td>\n",
       "      <td>66.7253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>left_eye_center_y</th>\n",
       "      <td>39.0023</td>\n",
       "      <td>34.9701</td>\n",
       "      <td>34.9096</td>\n",
       "      <td>37.2618</td>\n",
       "      <td>39.6213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>right_eye_center_x</th>\n",
       "      <td>30.227</td>\n",
       "      <td>29.9493</td>\n",
       "      <td>30.9038</td>\n",
       "      <td>32.0231</td>\n",
       "      <td>32.2448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>right_eye_center_y</th>\n",
       "      <td>36.4217</td>\n",
       "      <td>33.4487</td>\n",
       "      <td>34.9096</td>\n",
       "      <td>37.2618</td>\n",
       "      <td>38.042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>left_eye_inner_corner_x</th>\n",
       "      <td>59.5821</td>\n",
       "      <td>58.8562</td>\n",
       "      <td>59.412</td>\n",
       "      <td>60.0033</td>\n",
       "      <td>58.5659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>left_eye_inner_corner_y</th>\n",
       "      <td>39.6474</td>\n",
       "      <td>35.2743</td>\n",
       "      <td>36.321</td>\n",
       "      <td>39.1272</td>\n",
       "      <td>39.6213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>left_eye_outer_corner_x</th>\n",
       "      <td>73.1303</td>\n",
       "      <td>70.7227</td>\n",
       "      <td>70.9844</td>\n",
       "      <td>72.3147</td>\n",
       "      <td>72.5159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>left_eye_outer_corner_y</th>\n",
       "      <td>39.97</td>\n",
       "      <td>36.1872</td>\n",
       "      <td>36.321</td>\n",
       "      <td>38.381</td>\n",
       "      <td>39.8845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>right_eye_inner_corner_x</th>\n",
       "      <td>36.3566</td>\n",
       "      <td>36.0347</td>\n",
       "      <td>37.6781</td>\n",
       "      <td>37.6186</td>\n",
       "      <td>36.9824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>right_eye_inner_corner_y</th>\n",
       "      <td>37.3894</td>\n",
       "      <td>34.3615</td>\n",
       "      <td>36.321</td>\n",
       "      <td>38.7541</td>\n",
       "      <td>39.0949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>right_eye_outer_corner_x</th>\n",
       "      <td>23.4529</td>\n",
       "      <td>24.4725</td>\n",
       "      <td>24.9764</td>\n",
       "      <td>25.3073</td>\n",
       "      <td>22.5061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>right_eye_outer_corner_y</th>\n",
       "      <td>37.3894</td>\n",
       "      <td>33.1444</td>\n",
       "      <td>36.6032</td>\n",
       "      <td>38.0079</td>\n",
       "      <td>38.3052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>left_eyebrow_inner_end_x</th>\n",
       "      <td>56.9533</td>\n",
       "      <td>53.9874</td>\n",
       "      <td>55.7425</td>\n",
       "      <td>56.4338</td>\n",
       "      <td>57.2496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>left_eyebrow_inner_end_y</th>\n",
       "      <td>29.0336</td>\n",
       "      <td>28.2759</td>\n",
       "      <td>27.5709</td>\n",
       "      <td>30.9299</td>\n",
       "      <td>30.6722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>left_eyebrow_outer_end_x</th>\n",
       "      <td>80.2271</td>\n",
       "      <td>78.6342</td>\n",
       "      <td>78.8874</td>\n",
       "      <td>77.9103</td>\n",
       "      <td>77.7629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>left_eyebrow_outer_end_y</th>\n",
       "      <td>32.2281</td>\n",
       "      <td>30.4059</td>\n",
       "      <td>32.6516</td>\n",
       "      <td>31.6657</td>\n",
       "      <td>31.7372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>right_eyebrow_inner_end_x</th>\n",
       "      <td>40.2276</td>\n",
       "      <td>42.7289</td>\n",
       "      <td>42.1939</td>\n",
       "      <td>41.6715</td>\n",
       "      <td>38.0354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>right_eyebrow_inner_end_y</th>\n",
       "      <td>29.0023</td>\n",
       "      <td>26.146</td>\n",
       "      <td>28.1355</td>\n",
       "      <td>31.05</td>\n",
       "      <td>30.9354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>right_eyebrow_outer_end_x</th>\n",
       "      <td>16.3564</td>\n",
       "      <td>16.8654</td>\n",
       "      <td>16.7912</td>\n",
       "      <td>20.458</td>\n",
       "      <td>15.9259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>right_eyebrow_outer_end_y</th>\n",
       "      <td>29.6475</td>\n",
       "      <td>27.0589</td>\n",
       "      <td>32.0871</td>\n",
       "      <td>29.9093</td>\n",
       "      <td>30.6722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nose_tip_x</th>\n",
       "      <td>44.4206</td>\n",
       "      <td>48.2063</td>\n",
       "      <td>47.5573</td>\n",
       "      <td>51.8851</td>\n",
       "      <td>43.2995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nose_tip_y</th>\n",
       "      <td>57.0668</td>\n",
       "      <td>55.6609</td>\n",
       "      <td>53.5389</td>\n",
       "      <td>54.1665</td>\n",
       "      <td>64.8895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mouth_left_corner_x</th>\n",
       "      <td>61.1953</td>\n",
       "      <td>56.4214</td>\n",
       "      <td>60.8229</td>\n",
       "      <td>65.5989</td>\n",
       "      <td>60.6714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mouth_left_corner_y</th>\n",
       "      <td>79.9702</td>\n",
       "      <td>76.352</td>\n",
       "      <td>73.0143</td>\n",
       "      <td>72.7037</td>\n",
       "      <td>77.5232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mouth_right_corner_x</th>\n",
       "      <td>28.6145</td>\n",
       "      <td>35.1224</td>\n",
       "      <td>33.7263</td>\n",
       "      <td>37.2455</td>\n",
       "      <td>31.1918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mouth_right_corner_y</th>\n",
       "      <td>77.389</td>\n",
       "      <td>76.0477</td>\n",
       "      <td>72.732</td>\n",
       "      <td>74.1955</td>\n",
       "      <td>76.9973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mouth_center_top_lip_x</th>\n",
       "      <td>43.3126</td>\n",
       "      <td>46.6846</td>\n",
       "      <td>47.2749</td>\n",
       "      <td>50.3032</td>\n",
       "      <td>44.9627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mouth_center_top_lip_y</th>\n",
       "      <td>72.9355</td>\n",
       "      <td>70.2666</td>\n",
       "      <td>70.1918</td>\n",
       "      <td>70.0917</td>\n",
       "      <td>73.7074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mouth_center_bottom_lip_x</th>\n",
       "      <td>43.1307</td>\n",
       "      <td>45.4679</td>\n",
       "      <td>47.2749</td>\n",
       "      <td>51.5612</td>\n",
       "      <td>44.2271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mouth_center_bottom_lip_y</th>\n",
       "      <td>84.4858</td>\n",
       "      <td>85.4802</td>\n",
       "      <td>78.6594</td>\n",
       "      <td>78.2684</td>\n",
       "      <td>86.8712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Image</th>\n",
       "      <td>238 236 237 238 240 240 239 241 241 243 240 23...</td>\n",
       "      <td>219 215 204 196 204 211 212 200 180 168 178 19...</td>\n",
       "      <td>144 142 159 180 188 188 184 180 167 132 84 59 ...</td>\n",
       "      <td>193 192 193 194 194 194 193 192 168 111 50 12 ...</td>\n",
       "      <td>147 148 160 196 215 214 216 217 219 220 206 18...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                           0  \\\n",
       "left_eye_center_x                                                    66.0336   \n",
       "left_eye_center_y                                                    39.0023   \n",
       "right_eye_center_x                                                    30.227   \n",
       "right_eye_center_y                                                   36.4217   \n",
       "left_eye_inner_corner_x                                              59.5821   \n",
       "left_eye_inner_corner_y                                              39.6474   \n",
       "left_eye_outer_corner_x                                              73.1303   \n",
       "left_eye_outer_corner_y                                                39.97   \n",
       "right_eye_inner_corner_x                                             36.3566   \n",
       "right_eye_inner_corner_y                                             37.3894   \n",
       "right_eye_outer_corner_x                                             23.4529   \n",
       "right_eye_outer_corner_y                                             37.3894   \n",
       "left_eyebrow_inner_end_x                                             56.9533   \n",
       "left_eyebrow_inner_end_y                                             29.0336   \n",
       "left_eyebrow_outer_end_x                                             80.2271   \n",
       "left_eyebrow_outer_end_y                                             32.2281   \n",
       "right_eyebrow_inner_end_x                                            40.2276   \n",
       "right_eyebrow_inner_end_y                                            29.0023   \n",
       "right_eyebrow_outer_end_x                                            16.3564   \n",
       "right_eyebrow_outer_end_y                                            29.6475   \n",
       "nose_tip_x                                                           44.4206   \n",
       "nose_tip_y                                                           57.0668   \n",
       "mouth_left_corner_x                                                  61.1953   \n",
       "mouth_left_corner_y                                                  79.9702   \n",
       "mouth_right_corner_x                                                 28.6145   \n",
       "mouth_right_corner_y                                                  77.389   \n",
       "mouth_center_top_lip_x                                               43.3126   \n",
       "mouth_center_top_lip_y                                               72.9355   \n",
       "mouth_center_bottom_lip_x                                            43.1307   \n",
       "mouth_center_bottom_lip_y                                            84.4858   \n",
       "Image                      238 236 237 238 240 240 239 241 241 243 240 23...   \n",
       "\n",
       "                                                                           1  \\\n",
       "left_eye_center_x                                                    64.3329   \n",
       "left_eye_center_y                                                    34.9701   \n",
       "right_eye_center_x                                                   29.9493   \n",
       "right_eye_center_y                                                   33.4487   \n",
       "left_eye_inner_corner_x                                              58.8562   \n",
       "left_eye_inner_corner_y                                              35.2743   \n",
       "left_eye_outer_corner_x                                              70.7227   \n",
       "left_eye_outer_corner_y                                              36.1872   \n",
       "right_eye_inner_corner_x                                             36.0347   \n",
       "right_eye_inner_corner_y                                             34.3615   \n",
       "right_eye_outer_corner_x                                             24.4725   \n",
       "right_eye_outer_corner_y                                             33.1444   \n",
       "left_eyebrow_inner_end_x                                             53.9874   \n",
       "left_eyebrow_inner_end_y                                             28.2759   \n",
       "left_eyebrow_outer_end_x                                             78.6342   \n",
       "left_eyebrow_outer_end_y                                             30.4059   \n",
       "right_eyebrow_inner_end_x                                            42.7289   \n",
       "right_eyebrow_inner_end_y                                             26.146   \n",
       "right_eyebrow_outer_end_x                                            16.8654   \n",
       "right_eyebrow_outer_end_y                                            27.0589   \n",
       "nose_tip_x                                                           48.2063   \n",
       "nose_tip_y                                                           55.6609   \n",
       "mouth_left_corner_x                                                  56.4214   \n",
       "mouth_left_corner_y                                                   76.352   \n",
       "mouth_right_corner_x                                                 35.1224   \n",
       "mouth_right_corner_y                                                 76.0477   \n",
       "mouth_center_top_lip_x                                               46.6846   \n",
       "mouth_center_top_lip_y                                               70.2666   \n",
       "mouth_center_bottom_lip_x                                            45.4679   \n",
       "mouth_center_bottom_lip_y                                            85.4802   \n",
       "Image                      219 215 204 196 204 211 212 200 180 168 178 19...   \n",
       "\n",
       "                                                                           2  \\\n",
       "left_eye_center_x                                                    65.0571   \n",
       "left_eye_center_y                                                    34.9096   \n",
       "right_eye_center_x                                                   30.9038   \n",
       "right_eye_center_y                                                   34.9096   \n",
       "left_eye_inner_corner_x                                               59.412   \n",
       "left_eye_inner_corner_y                                               36.321   \n",
       "left_eye_outer_corner_x                                              70.9844   \n",
       "left_eye_outer_corner_y                                               36.321   \n",
       "right_eye_inner_corner_x                                             37.6781   \n",
       "right_eye_inner_corner_y                                              36.321   \n",
       "right_eye_outer_corner_x                                             24.9764   \n",
       "right_eye_outer_corner_y                                             36.6032   \n",
       "left_eyebrow_inner_end_x                                             55.7425   \n",
       "left_eyebrow_inner_end_y                                             27.5709   \n",
       "left_eyebrow_outer_end_x                                             78.8874   \n",
       "left_eyebrow_outer_end_y                                             32.6516   \n",
       "right_eyebrow_inner_end_x                                            42.1939   \n",
       "right_eyebrow_inner_end_y                                            28.1355   \n",
       "right_eyebrow_outer_end_x                                            16.7912   \n",
       "right_eyebrow_outer_end_y                                            32.0871   \n",
       "nose_tip_x                                                           47.5573   \n",
       "nose_tip_y                                                           53.5389   \n",
       "mouth_left_corner_x                                                  60.8229   \n",
       "mouth_left_corner_y                                                  73.0143   \n",
       "mouth_right_corner_x                                                 33.7263   \n",
       "mouth_right_corner_y                                                  72.732   \n",
       "mouth_center_top_lip_x                                               47.2749   \n",
       "mouth_center_top_lip_y                                               70.1918   \n",
       "mouth_center_bottom_lip_x                                            47.2749   \n",
       "mouth_center_bottom_lip_y                                            78.6594   \n",
       "Image                      144 142 159 180 188 188 184 180 167 132 84 59 ...   \n",
       "\n",
       "                                                                           3  \\\n",
       "left_eye_center_x                                                    65.2257   \n",
       "left_eye_center_y                                                    37.2618   \n",
       "right_eye_center_x                                                   32.0231   \n",
       "right_eye_center_y                                                   37.2618   \n",
       "left_eye_inner_corner_x                                              60.0033   \n",
       "left_eye_inner_corner_y                                              39.1272   \n",
       "left_eye_outer_corner_x                                              72.3147   \n",
       "left_eye_outer_corner_y                                               38.381   \n",
       "right_eye_inner_corner_x                                             37.6186   \n",
       "right_eye_inner_corner_y                                             38.7541   \n",
       "right_eye_outer_corner_x                                             25.3073   \n",
       "right_eye_outer_corner_y                                             38.0079   \n",
       "left_eyebrow_inner_end_x                                             56.4338   \n",
       "left_eyebrow_inner_end_y                                             30.9299   \n",
       "left_eyebrow_outer_end_x                                             77.9103   \n",
       "left_eyebrow_outer_end_y                                             31.6657   \n",
       "right_eyebrow_inner_end_x                                            41.6715   \n",
       "right_eyebrow_inner_end_y                                              31.05   \n",
       "right_eyebrow_outer_end_x                                             20.458   \n",
       "right_eyebrow_outer_end_y                                            29.9093   \n",
       "nose_tip_x                                                           51.8851   \n",
       "nose_tip_y                                                           54.1665   \n",
       "mouth_left_corner_x                                                  65.5989   \n",
       "mouth_left_corner_y                                                  72.7037   \n",
       "mouth_right_corner_x                                                 37.2455   \n",
       "mouth_right_corner_y                                                 74.1955   \n",
       "mouth_center_top_lip_x                                               50.3032   \n",
       "mouth_center_top_lip_y                                               70.0917   \n",
       "mouth_center_bottom_lip_x                                            51.5612   \n",
       "mouth_center_bottom_lip_y                                            78.2684   \n",
       "Image                      193 192 193 194 194 194 193 192 168 111 50 12 ...   \n",
       "\n",
       "                                                                           4  \n",
       "left_eye_center_x                                                    66.7253  \n",
       "left_eye_center_y                                                    39.6213  \n",
       "right_eye_center_x                                                   32.2448  \n",
       "right_eye_center_y                                                    38.042  \n",
       "left_eye_inner_corner_x                                              58.5659  \n",
       "left_eye_inner_corner_y                                              39.6213  \n",
       "left_eye_outer_corner_x                                              72.5159  \n",
       "left_eye_outer_corner_y                                              39.8845  \n",
       "right_eye_inner_corner_x                                             36.9824  \n",
       "right_eye_inner_corner_y                                             39.0949  \n",
       "right_eye_outer_corner_x                                             22.5061  \n",
       "right_eye_outer_corner_y                                             38.3052  \n",
       "left_eyebrow_inner_end_x                                             57.2496  \n",
       "left_eyebrow_inner_end_y                                             30.6722  \n",
       "left_eyebrow_outer_end_x                                             77.7629  \n",
       "left_eyebrow_outer_end_y                                             31.7372  \n",
       "right_eyebrow_inner_end_x                                            38.0354  \n",
       "right_eyebrow_inner_end_y                                            30.9354  \n",
       "right_eyebrow_outer_end_x                                            15.9259  \n",
       "right_eyebrow_outer_end_y                                            30.6722  \n",
       "nose_tip_x                                                           43.2995  \n",
       "nose_tip_y                                                           64.8895  \n",
       "mouth_left_corner_x                                                  60.6714  \n",
       "mouth_left_corner_y                                                  77.5232  \n",
       "mouth_right_corner_x                                                 31.1918  \n",
       "mouth_right_corner_y                                                 76.9973  \n",
       "mouth_center_top_lip_x                                               44.9627  \n",
       "mouth_center_top_lip_y                                               73.7074  \n",
       "mouth_center_bottom_lip_x                                            44.2271  \n",
       "mouth_center_bottom_lip_y                                            86.8712  \n",
       "Image                      147 148 160 196 215 214 216 217 219 220 206 18...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.head().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True     28\n",
       "False     3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.isnull().any().value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data.fillna(method='ffill', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    31\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.isnull().any().value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7049, 9216)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imag = []\n",
    "for i in range(0, 7049):\n",
    "    img = train_data['Image'][i].split(' ')\n",
    "    img = ['0' if x == '' else x for x in img]\n",
    "    imag.append(img)\n",
    "np.array(imag).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "image_arr = np.array(imag, dtype='float')\n",
    "X_train = image_arr.reshape(-1, 96, 96, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(96, 96, 1)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train[0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot one example image\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "plt.imshow(X_train[0], cmap='gray')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(30,)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 除去 Image 外的数据\n",
    "\n",
    "point_info = list(train_data.T[0][:-1])\n",
    "np.array(point_info).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 收集人脸关键点的数据和提取标签\n",
    "\n",
    "point_data = [] # used for plotting\n",
    "y_train = [] # labels\n",
    "for i in range(0, 7049):\n",
    "    # 一个人脸的数据,15对(x,y)坐标数据\n",
    "    point_info = np.array(train_data.T[i][:-1])\n",
    "    # 所有人脸的数据\n",
    "    point_data.append(point_info.reshape(15,-1))\n",
    "    y_train.append(point_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "point_data = np.array(point_data)\n",
    "y_train = np.array(y_train, dtype='float')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7049, 15, 2)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "point_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7049, 30)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 5 examples for train data\n",
    "for i in range(0,5):\n",
    "    for j in range(0, 15):\n",
    "        plt.plot(point_data[i][j][0],point_data[i][j][1], 'ro')\n",
    "    plt.title(\"trianing example:%s\" % (i+1))\n",
    "    plt.imshow(X_train[i].reshape(96,96), cmap='gray')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(96, 96, 1)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape[1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.shape[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.layers import *\n",
    "from keras.models import *\n",
    "from keras.optimizers import *\n",
    "from keras.callbacks import *\n",
    "from keras import utils\n",
    "\n",
    "# build CNN model \n",
    "\n",
    "def CNN_model():\n",
    "    \n",
    "    input_data = Input(X_train.shape[1:])\n",
    "    \n",
    "    c1 = Conv2D(32, (3,3), activation='relu')(input_data)\n",
    "    c1 = BatchNormalization()(c1)\n",
    "    s1 = MaxPooling2D()(c1)\n",
    "    \n",
    "    c2 = Conv2D(64, (2,2), activation='relu')(s1)\n",
    "    s2 = MaxPooling2D()(c2)\n",
    "    \n",
    "    c3 = Conv2D(128, (2,2), activation='relu')(s2)\n",
    "    s3 = MaxPooling2D()(c3)\n",
    "    \n",
    "    f = Flatten()(s3)\n",
    "    f = Dense(1024, activation='relu')(f)\n",
    "    f = Dropout(0.5)(f)\n",
    "    f = Dense(1024, activation='relu')(f)\n",
    "    f = Dropout(0.6)(f)\n",
    "    output = Dense(y_train.shape[1])(f)\n",
    "    \n",
    "    model = Model(inputs=input_data, outputs=output)\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = CNN_model()\n",
    "#optimizer = SGD(lr=0.03, momentum=0.9, nesterov=True)\n",
    "#model.compile(loss='mse', optimizer=optimizer, metrics=['accuracy'])\n",
    "epoch_num = 500\n",
    "#learning_rate = np.linspace(0.03, 0.01, epoch_num)\n",
    "#change_lr = LearningRateScheduler(lambda epoch: float(learning_rate[epoch]))\n",
    "#early_stop = EarlyStopping(monitor='val_loss', patience=20, verbose=1, mode='auto')\n",
    "#check_point= ModelCheckpoint('CNN_model_final.h5', monitor='val_loss',\n",
    "#                             verbose=0,save_best_only=True,save_weights_only=False, mode='auto', period=1)\n",
    "\n",
    "adam = Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=1e-08, decay=0.0)\n",
    "model.compile(optimizer=adam,\n",
    "              loss='mse',\n",
    "              metrics=['mae', 'accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mse (cost function):\n",
      "training   (min:   14.228, max: 1123.410, cur:   14.868)\n",
      "validation (min:    4.539, max:  459.548, cur:    5.127)\n",
      "\n",
      "Mean absolute error:\n",
      "training   (min:    2.803, max:   26.399, cur:    2.864)\n",
      "validation (min:    1.307, max:   15.114, cur:    1.389)\n",
      "\n",
      "Accuracy:\n",
      "training   (min:    0.155, max:    0.783, cur:    0.779)\n",
      "validation (min:    0.362, max:    0.739, cur:    0.727)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x275e2506080>"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from livelossplot import PlotLossesKeras\n",
    "\n",
    "model.fit(X_train, y_train,\n",
    "         epochs=epoch_num, batch_size=128,\n",
    "         validation_split=0.2,\n",
    "         callbacks=[PlotLossesKeras()],\n",
    "         verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1783 entries, 0 to 1782\n",
      "Data columns (total 2 columns):\n",
      "ImageId    1783 non-null int64\n",
      "Image      1783 non-null object\n",
      "dtypes: int64(1), object(1)\n",
      "memory usage: 27.9+ KB\n"
     ]
    }
   ],
   "source": [
    "test_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1783, 9216)"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timag = []\n",
    "for i in range(0, 1783):\n",
    "    img = test_data['Image'][i].split(' ')\n",
    "    img = ['0' if x == '' else x for x in img]\n",
    "    timag.append(img)\n",
    "np.array(timag).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "timage_arr = np.array(timag, dtype='float')\n",
    "X_test = timage_arr.reshape(-1, 96, 96, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(96, 96, 1)"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test[1].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(X_test[1].reshape(96,96), cmap='gray')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "pred = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1783, 30)"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(30,)"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred[0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 收集测试集人脸关键点的数据和提取标签\n",
    "\n",
    "tpoint_data = [] # used for plotting\n",
    "for i in range(0, 1782):\n",
    "    # 一个人脸的数据,15对(x,y)坐标数据\n",
    "    point_info = np.array(pred[i])\n",
    "    # 所有人脸的数据\n",
    "    tpoint_data.append(point_info.reshape(15,-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1782, 15, 2)"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpoint_data = np.array(tpoint_data)\n",
    "tpoint_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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76EjIIyiNeyKPTA3s6cehAtUyoW0ryBQ/I6ML0VaKP2bMGMyZMwfPP/987ZqGRo4i8Ci1UCMbX0YjpvjyZTu7+raXqZ9U2BjttKTCkaks247qKYWPhFqq/vHGPSroisxoqQYkoug4Sim9oEnj35X5/KvaKRJGRaHD2Z+fm/ah8RXVe1L784jWUz3fgOaINywbzZXrEAkw9ZnxKm1ChXv+PvG+Kufh+0opZXVeRkZGMdpO8efOndtAhRi1RFVEkWpI1XF+d1OuwH8vOvtEhh56xi4zx9XUS0CdwkRGRkrFo3GorENNcP21yPBGOSaVb/hrqsbz81COpSxxQ2Rcw3Eo51Am34nUcOp05TkPjl+psj/Hq+wnSm8VRTIiouhAvi8/V/ZFiq3xH4C6QZTnRFiOiTmYbCOSQWmch9ea+zJT/IyMLkR+8TMyuhBtZ/Vnz54dhoomyNJEQiD1UY/Y+UhVpxlSo0QUOp7IwkoRhVjSzKlRyCxVWUYJOYhIVVZmhaZtR0cWDZ0dsfO0QlMvOw/16otUfnp/o2NJlJFW7fjL1FcqHCwTUmr7fhzsIzpOqNA0CvOtalY/Vx2jD/umFqk8qvhx6DpGz0623MvIyChF2/3xh4eHQxWTUqjI/pzQyC2+XmT/riqhMupVVqaIerWilvPXVPDmxxfNTeejxjHRWMtSLisVjEJQt5KdV1VKZenCdFweUUKOIq4mKqOGRK2oef34NLpP2f0kIsMuFTD7+0r1XfRcKHfDMt4DUONMFN3XHF47IyOjEG2l+D09Pejv72/YkYu8tvx3peY8S3kvNY11p1Te149+U0QGPKo+K0uWEcX+0zOYetkBzVF6olzpUcJEQg2QIg5COQ2lNEBzso/IK04j4ETqOEUUZ4Eo86MvquPrca39eTxKtunH7vuKwpVzHcpkJuyD95P/qaoGmtWB/t4zGhDHzefMJ4UllDvQ37IBT0ZGRiHaTvEnTJgQ7lZlFJ9QKuilntxBeS6KpPplTjq6k0dnMR1TdJ7Sa56yFDljeBQZrvh2OG+l7r58kfOTB/uPkkVG3AxBU1KltP5MqgksohgKlF5H0W05N70PkRxBo+xG/vRRBF5FtNZFEYD8OIqi/UYxITl/H/NPjcYYoSkyumolrkAryBQ/I6MLkV/8jIwuRFtZ/ZRSk8pBhVeR8Ea9plRQAjTbbft21FBH85j7+qoii1hDZV8jwRvZ4SixB8dPVjfyrlMDIH/k4Pg16CbQnA8vYpGLgmX6sWrorki9V5YJl1BWO/KHj7zieAzR/stCZ5eF4Nb7GalQNROt70+fmVZ8OHwZnaO/n7TfZ4IYNSIralO/5/DaGRkZpWh7BJ7e3t5QnUeqHKmvdJeLUjaxHVKUaCfURBiRMEkpSxmlJDxXoAIrv7NrsM0oy6yOOUovxfoashmoe3qVCdU0j3sUiUfreUGkGhdFZZRSl/nel2UWLqP4hAruIk9CDWXuOQ/lBiJ//KLw60CzmjcK+KrGX/5+alyFKCaFjidSF5cJLhWZ4mdkdCHars4bP358g9qIuxujj0R+12ouGcVx0/DakRpOd9AyVV0UQUepVxQBR50nfH09t0fGMaoaitRwGjHH9xH168flP1M2EFFRjpWUMYo5oOf2KAUWodF6/BwjZxtNcql1gGbOJ+IqlJtSZ64IkTpQz/bRPdPkmX49SP1VzQnUOUGWKUuoQZSZ7raC49Yys/lmdoeZPWVmT5jZx6vXp5vZT8zsuer/aa9pBBkZGW1HKxR/EMAfp5TWmdkkAGvN7CcAbgCwOqX0N2b2SQCfBPCnZQ2ZGfr7+xsMPbhLq6lrWaw7fo/OUJH0U8+rkVmjygG0Xf9bmclumcGMGhKRQniOgX3QIIkUzpt4qplzJIfQOXsqSFNQNSDy31VL4tdMJdRs29cvkkJ7aEozv55FfbQSPdk/F1pPjZaAZk2Kp+ZF2pUoshLNe6P01nzmOVaf4v2MM84AUL/HZVoSoixCVSs4bsmU0raU0rrq5wMAngIwF8B7AHy1WuyrAP7PlnvNyMjoKEZ0QDCzBQBWAngQwJkppW1AZXMAcEZBnRvN7GEze9g7LWRkZHQOLQv3zOw0AN8B8Icppf2tegGllG4CcBMALF26NE2ZMgUzZ870vwNoNm4pC5FcZlRDtjny1S8Lna0qJc1h59tWlipSx0Veh2Q72bayfzomPw/fp3oXaohloJkljY4sRV52fqyRsFURqfOK2vbzKzO8KcrHFxl/RcJJQu8jVblRvsJIcBcdMbRPVVFGAU6JSPDHMekaRfXLPBpPekINMxuDykv/jyml71Yv7zCz2dXfZwN4ueVeMzIyOorjUnyrbKtfBvBUSulv3U+3AvgIgL+p/v9+C22ht7e3Fs8NiA1UonpAc0IML8Thrs3/fkctiuvnd8siwYivq6ogVUf5MSoVKUNZxtOIA1KDkyjJBAV4EfUoygwcGYOUGYqUZdnVPqIUWJxTNEcV6kWx71StG5knK8pUwaqmjPqP6mvMwEhlqIZDkSdkUZosPzeNU/ha1XmtsPqXAfgwgMfM7JHqtT9D5YW/2cw+CmATgPe/phFkZGS0Hcd98VNK9wIoOtBfOZLOytR53NH0bOh/I7Ugx8Czkf8c7YBFEVo89VHnnMjkVs1xIxNPQg1P/NxYnua1fj00uo4m6PD1I59sroNS8SgSb5mve5FaMGqb8CpHzr8Vp5IoInHRGd9TQY3AW2b6q3XK1L3+zK7OSqrmjObIPnxCDRqocWx+jOyD9z7qQ+d6osgmuxkZXYi2muz29fVh2rRpWLRoUe0aKdS+ffsAxOa13BFZlq6n3gVVzVejmGhqjBJROKUwe/bsqX3WaKplqZ8iFLl2RvINpYKRxJZjjiIJkdqo4whQnLoqihwbnZdVZsK2PYXSczvX3HNCRYZZQDN3FXFgum7ROha55UbScI1+5Mvpc+nXSs/bmobcI+KgzjzzTAB1uUykQYlkJCeCTPEzMroQ+cXPyOhCtN0fv6+vr5YNFKinEtq7d2+tDBAnHCBrTzbJq/NU7VQWDaZMQKJpjLyARo1pIq8yFZj5vnhUUfWPV+dRQKbrEM0nCghaZL8eeefpkSOK8lNmnBOltdKxaT55X1aFWGWBI9Wnw4+fNvLsK8oszHrREYbt8F5H3nFqbBUl5OC9o9ej74NWqxpE1H9uJfpTmQ9EjsCTkZFRirZS/OHh4druTGhSiSjkNHdb9X+PfN2j70r1ImEWf9OkBl4oxmuqEoqSb0b54dXgJ+Judu/e3VAvijak1Mf3oUkdOLaIYqswK4qHF6WlUkOqMuMcjYDjKVUUc5DQ+8D2/Bj5m6pro9h9rB/lrFdK6/tQwyGGvub/aMwRB6SU3hux+c9+PGWRmU4UmeJnZHQh2p4008wwf/782vdZs2YBAB5//HEArZkgRucbPbf776oSK0tSoSoYPx5ST57hSI0jCkH4HZrUhvX4PUqIoW1HsftIdbxak/OgzIS/+TUjx8B+I3VaGWVRmUCkcuT6K4WN4vJRZVqWXku5NaA1gyqNwRgZH6k6zj8DagLOZ8Bzi6pWJQfj7+uBAwca/nujLd5HpfCRgZnKh/w8ent7cwqtjIyMYuQXPyOjC9F2Vh9oFOiR7Vc/6VbYzii4Y2RvrdZaZIe9oLEoH7wfq1q6RaoyFeBFSRFUTeMTYiirT9bYW3OxHQoCI3Ug2U2y/FF4L6pSI4EqWWTvD1FURgV4vk2uMf/7YxHXhmP061C2xoSq+CI2l8+R+oJE3opc80g4qIk4uHZ+bHqvPBvOe0UW31uvajtEZBGqAUY9jh071rJPfqb4GRldiLan0BoYGGjYUUmhNBiipx5KsUkp/K6nKqGyZBmkOpFPtYau9lRId9kovDV3+8i7jFRHBZieK1Bf/2g+BMfvORf1bow81iiEYr2y/PaRvTkFdmoc49eKVJzCLBqweM6K94FrxrL+sxopRYYzOvco2QXLkoPxZVTIGQX9VEGijyLF+8kxRwJVzpv1zjrrrNpvmkiDiIyuNNCrxpRoVbjXEVY/4/XBli2X4667fhOHD8/AxIm78Za3fAeLFv28Y+N57LE34ac/vQIHDkzDxImv4OKL/zcWLLivY+PJqKPtFH9wcLBhV1LVUnQ+KjrXROabRVQVaDaqic6N3H1JFX07Rbtpq1FQSBE1CotvV01cI2Mj1veRibZuvRyPP/4xDA9T5Xg67rvvBvT29mLJkjWhPITtaFhnP6fInFZjBWgMAQBYu3YZfvzj6zA4OLY2nnvv/dcYGDiKBQvuB1C/1+QGIuMc5dY8Z6fnd52fB9uhF6g3utJ5+OdMvQx5Vr/ttsn4r/91DnbsGItZs47h4x/fgcWLdzesWUSxly9fDqAeUtv/xj6ic7oaa0WehNlktwSbNv0Sfvaz/4nbb78Vd975D9i69fJOD+mk4Nlnb6i99MTQ0DisWfPejoznnnveVXvp/XgeffTXOzKek4m1a5fhM585C9u3j0NKhm3bxuLTn56Le+6Zf/zKowQdYfW9hFoNJCInCpW4R0kedZeNHBxeeOESPPLI72BoiOmMzsTjj38cALB06cMA6tSDnIintOo/rsYUvgwpU3Te5NmaZ0J/RlcjH1KjKIKOx6uvzmy6VmlvOo4ePRpG8OFZNNKkqKQ80nqoPMbf1/37pzaVB4DDh2fUKLw61/i14r3V+9qKc0okQ9J7F1HHyMGLsgqa1e7duxe3334ZXn21cRyvvtqDm2++ENdfX+cqPAfDBBoLFy5sGFfZPKKoR60k22gFXUXxn3zyN2ovPTE83I9nn72hMwM6iejv3xlenzjxlTaPpIJJk/aE18eP39XmkZx87Ns3Jby+Y0ecTXk0oqte/CNHTg+vF1HLUwlLl/4DenoaI7f09r6Kiy66pSPjWbXqVvT1NcpkenuPYtmyrxbUOHUwZcq+8PqZZzbbQ4xWtJXVHxwcxM6dOxsEG7TVp5pl585mykU2h6ykqt6AOmsYhdWqC4Z24ciR5oQ/EyfubhIyRoIjPT4oOwo0e4j5cZD9Z+DFefPmAWhkCck+k10sMxLyrPKSJWswbtwX8fjj1+PIkdMxceJuXHjhzTjnnIcB9IS26TxqRAFO1f7eCyA1I2/Ehi9bthYAcP/978ahQzMwYcIunH/+NzBlyk9AGSDb1nsHNBsORQJePSbS5t2z0WxbYw/4djh+rkdkiMQ12759Oy666Bbce+9HcOxY/dno7x/Gn/zJbkyfPj085lGot2zZMgBxCDE1hIqMv3TMrYRvj9BV6rwVK76ORx75vQZ2v7f3KC688OYOjurk4ayz7sW8eXcD8C/O8VMuv15Ytmwt5s69C0BddrEvJpanFM455yHMnz8fP/jBJdizZxJmz65I9a+7rjjb0GhDW1/8Xbt24Stf+Qquuuqq2jUKTebMmQMAeP755wHEoZZJGcsSOJRF3lm69GGMHfslPPror9d03RdddAsWLXoIvb19YTuRUE2pgIcalZQZ93AX9xSKVI8cSCtRYVoJHOkFbzrHKFimJjqJUkapOtKvvcYBiDIcq6ebv6/Keem4gPq6kYPS+fk21RTalyHndPrppzeU8XOiByHXcd68u/C7v1vZ1K655hoAwLRpFarO9fQeeCtWrKjWmweFUvMyAaYamEVpz1pBV1F8AFiw4P6aHjkKmJCR0Q1o64s/NDSEAwcO4NZbb61dY/w97nJ0fvAUipSF4YcJfyYsSvIANJuoEpEaTndffxbUM1hEhRVRqGSVUXiugv2pqiyiQtFvavCi6ceA+hpRnce+PIVSiuvlEGxbz6YeRRyYN8DRUNXRb9p2ZMCjXJa/h2ruHZmEk/OI4tlxrnz2NJagb5P1vOkyoVF2oph7vC8aEciPTdezLIZBGbpKqp+RkVFBWyn+mDFjMHv27IYd+ZVXKnpmUpglS5YAqJtG+s+kDFGsOjUxLTN7JDylKOIY/I5K6s12IpkDy2jMOKAuNeZvZU42nGMUzUXj6UUut0SknVAuIKKcGpHYc1caEy46W1IrwTlHUXZ5P5XiAvW1Vc6FBjVAfR006WRZCiyV0/h5qzzC11MNRuT2TUr/wgsvNM2VbriR85NGUo44QYL1I7nK0NBQdsvNyMjUyNdDAAAgAElEQVQoRn7xMzK6EB2R6nuWkv7JZFko7POs/saNGwHUWeJIcFSWlVXZ5igRBa/pUcGzTmTRydLt2LEDQKM9P9U2VA09++yztd927aqYq2o47ig8t9qYe+Ea2Wf15AOaQ28TPugly3A92VeUiEJVfkCzByXXw/vTc66sT7uCyCCKZf0cNZCnBqv04+V/rqMPPkphMYVr0bFGhZReOMdrKviLNEJ8ZjmfBQsW1H6jcJBHIL+eHIse0yKhqR5F/b0fN25cy56iXafOy3hjYffuX8G2bX+AY8dmYezYHZg7979h0qT7Oz2sUY+2v/iDg4MNOxl3PhVK+B2Ru7yqTcrUSFE0GVKGSA2nBh7kEvY5UzPu5PQuI+WkOSYArFy5EkCdiqxbt672G7OiXnvttQ3tPProo7Uy27Zta5j/OeecA6BRSLhly5aGOUbUp8ykk9RfjXTK8sqXGUZxzXxmYVJNrivH6NthGY7Rq2uV+pEb8JT6lVeuxubNf47hYUYCmo2NG/8cg4P/EdOm/QhA/dnhmnFd6S0H1O9jlOVWDaGitGcq3CS35/G5z30OAPDkk08CAP76r/+69tvVV18NAHjxxRcB1DnLyGiKiO7H0aNHQ6/UCJnitxlbtvwy/uIvfgO7d5+GqVP34+qr70JPz6PHr5jRhC1bfr/20hMpjcf27R+rvfhl2LTpl/D449fj8OHTMXHiK1i16lYsWbLm9RruqEJbX/ze3t4mQwZVoXDH8lSMu7P6jZdFH4lUIQq/O6p6hJTeU/xt2/4PvPTSv8XAwJkYN+5lXHTRLViw4P6GiKuk4qQU3pz0kUdWYP36f1d7WPfunYKbb34HzjzzLkyefBuAusxD4wJy3Z544gL89KdX4PDhGRg/vuL48pa3PNM0D41yG5n1qjlvFN8gcuBRdZOaIvsyREShdu68qmY+PWHCKw2hwqj+0vgEPlbdz38+q6nNyrhmYe7cuQCA8847r2Gs5K4efPAcbN58I1Kq3ItDh07HnXdej4MHD2LFikea1kHVglEkXk13dt999TBjGzZsAFC/r3feeWftN46RchBS/EiGFUX3Ifr6+nJCjZONHTuuxAsvfAoDA7MB9ODo0Vl46KHfxsaNl7bcxosv/k5AoSZg164/aqn+E09cgB/+8L04fHgmgB4cOXIG1q37XTz33FtHMJPRgRdfvAwPPfTbtbkcPjwT99//m9iwYVXLbZx22u7welFsAo/t2/+g9tITQ0P9eOyxD7bc/6mM/OK3iI0bb2x6aUcaSuro0WaXYAAYHJwdXlfceec7g3BW/Xjwwfe0PIbRgl/84gMYGhrXcG1oaBzWrXtfy2289a3/u8nnv6fnVSxdenyf/2PHYm7h8OEZ4fU3Glpm9c2sF8DDALaklN5tZgsBfBPAdADrAHw4pVQaiWDs2LE4++yzG9j4rVu3Aqiz1JH1FQUyZIWi0MJldvOqvosSMJAF00CS7LvopT18eEZN6AfU2WWqchYvXux+24lXXz2zqY1x416uxSjgGHm84VFhYGCgMJzVwYPTa6woBUtk8Tk2f2RRwWXko8411sCgQLOgKfJHUKtCCtCoOjx8OA6KcujQDJx77rm19bv//oqEnvfQC33nzr0Lb3/7ANatex+OHDkd/f07sXTpP9RcgYE6i06LUN7XBx54GUePNr/848a9XDuuAc3+IWpP7/vgNap5/Zr7IwrQaIHIvJFLly4F0Jy4BShWV+v114PV/ziAp9z3zwL4fEppCYA9AD46grZOORSxjxMmtB7aKoqSY3YEZ5/99y3Vnzx5b3i9KMzVaEbRmKdO3R9eL8LChQ/giit+C9deex0uv/wGzJlzZ0v1zjrri+jpaUwL3tPzKhYt+tKI+j9V0RLFN7N5AK4F8J8A/JFVtpUrAFxfLfJVAJ8G8IXjtZVSahBM6A4V5ZVXNVy0I6qww3MALKfqQC8cVNtwTbJw/vnfwD//8+81sKe9vUexcuUtDZwHjTgiCrVq1QbMmPF1PPDAr+LVV2eiv38nFi/+MmbM+Bm4B1OIx93f52y/5JIfYPXqDzSw+wwkQgriBY1+rh6aHTbKx14WglztzUnxvYqLnAo5EFLF7du3AwAuvPDbeOCBGzA46IOZHsN11/0cEydOrAn1yOWRg1i/fn2tPFWf/I3U2d9Xcj6kwpzj+ef/AlOmfBFPPPEhHDlyOsaNexkLFtyEmTNX4+DB+j3ThC+qGo7AuftIU+oj4H9j5KAyqO9ElLZsJLb6rbL6fwfgEwBoEjUDwN6UEme/GcDcqKKZ3QjgRqDZNfFUwvz596Cvrw+/+MUHalLolStvwaJFD2AkjNOSJWvQ3/9dAPUXJ0hdF2L58opNwH33XYuDB6djwoRduOCCb2HRoodHNJfRgMWLf46+vl6sWfNeHDw4HVOm7MN73vMg3vrW59o2hvnz78H8+ffU7A9a1YG/EXDcF9/M3g3g5ZTSWjO7nJeDouFWk1K6CcBNADBr1qy0e/fuhvMiFz0yvCG4S3Jnj8wm1dTWe7yR+utuGSWL5G96JgWA+fPX421v+4z4wU9sMLRgfZ7v/FmO1J9RWCLDGc6RnAONXDifKVNux6/+6j81zN9vqOqFFuWM57wjeQrB/jg3b06rSSLZjjd11Th4vM+k+EDljD537l21uIt9fX2o2tnU1HE8G2tKLaBu3s3niWNkIlagbr7rxw80xvTjWvFs7++nynqiZ09V0izjuT2NeeAj8XCNVNYSpQtjO2WxEFtBKxT/MgDXmdk1APoBTEaFA5hqZn1Vqj8PwNaWe83IyOgojvvip5Q+BeBTAFCl+H+SUvqQmX0bwPtQkex/BMD3W2gLg4ODoS80KWvko07oOSeKbhv51XN3LJP8a0w4TaXl2yGiuAAKL/FWeUYUXZbg/Pmb5zxIrXie94Y3PBtr0kp/VlenEP73VFEddzyF01Rmka897zH7Z5+MMuvnyJgMHlxrygjOPvvshnYB4KWXXmqow7IqQfd9RevJsUU+7mqsFHGkmoKb98dzFWqcEznptGL0pPDc2kgi7p6IHv9PURH0rUflzP/lE2grIyOjjRiRyW5K6U4Ad1Y/bwDwtpM/pIyMjNcbbbXV7+vrw9SpUxvUF2RP6HOvmWA9VHAVqZ/4W+T3rb7tvg8N4xTlUeNY1X8+CmTJdrytvvrPR6pLjk1jDkR51ChAjLziyGKrkM+vQ5m3oq6nXysVpLK+F7xxbOyDrDoFeX6uPJb4daCgTdWK/tkhu6zCSR97gEJSVVlGQTtVsAo0C51Zzx8li0J3ReHSNGxaBA0e6vvX51KFtjn0VkZGRiE64pbrd2gm0Ni0aROAOoX0Kiru1hrw0O+aKggpC6YYCUFUVRjtuhrokPAUU724/A7MeUcmrjqOsgyw6tvuVYYa4SUy7WQ9Up8oWy7HqmsXjSkKlkmQclOA5+cVcROEBqDkmvm10wg8RGTqqlmMvdBW1WiROk+5Iv/s6f3kuvo15z2ikM8LF5W7ilTbakpe9Cy2ikzxMzK6EG1Pmrl3794GJwiep3j2o3OK38U11l50Jo3MThXKMfhdX417ogQGReGovdpGd2+vluTZWA00/Hw0dDfbjvzpeZ73Z2tyA35uvo6HUg3fjqpOIwqnvuGRMQnnxmSoUWJMTbfl2+Z/TZPl58TxRLKGIuMtDzW4KYt1x9+ixJxce5bxzzkpfiQjUK4skv1o8pFIdtPT05P98TMyMorRVopvZujr62vYpXiWp/EFv9MBA2jegcuSVbaSPlgTKQLFjjxRtF5SEe6+fj5K1f0OrC63UfJNXiOFi5I8qvmpnwdNVFUKHCXt0HFFUYs4D1+Ha62pwPw4VGZC7sSPnRSf7fn6USQm354vryavnrshN6CRiaJzfCRzqLtlV9ZBOSmg2bw7kj1wHhyPd+WmxqPsmVVNSpnMpRVkip+R0YXIL35GRheiraz+8PAwDh48GOY4j5I6EJoLnGxPJMhQlgpoNviJEnKoYCZKvKDsYuQhpYiEOPo9MgZRF9FI8MWyXvWpUYZU8OXHrTnfIjaabKzvX1WNZH99sgv1wWAZf3/ZbySQ1Jx1USZbPd5FakkVppUZNJXFglCVn5+HCnk5Zy+QpKBPfSkiRKpgQnMZarbcbMCTkZFRiLZS/JQSBgYGGtRfpFYMK83EBxE1VhWPp5RlEVGiGH1ALAxRQVOUe57tRVSIfURGLcppRH2wbQrjVIDm29a+gDoVbYwZEFNK9k8qRuruy4wEUWIPVetFQjX1eQeahWhRFuRWTGVVPVqWfo3rEPm1s0xkfMXnmVSYqkv+94hCkasZb/QsK4WPVMEDAwNZnZeRkVGMtpvs6m5Kiq87cZRmi7slz2KR4UqkktEIPq0g8kNX0+GIwqnBiN+9VSUUpWPiGVDPpP68qNTcq8g02Sf78j70KkeIcsZzzTXKjm9bo/t4Kq3qzChyjcZQ8M5GjElHaspx+HvO50Hn48uQA9Jzc+R0xHvn10qNnLgu3hFI1auEp+r6DPvYgeQMGEcg8s+P1Hfax0jMdzPFz8joQuQXPyOjC9F24d7g4GCDnTPBIIwUakUsNkFWzguKlMUvE/YpG+vbUtY0suIiyuy+CT8OZUVVgOfnwTXiuLwQh/U0P72HhjDTMMweFOr5NSdL6sN7F82RLKmfB9l+Za0jK0MN0w3U1V96HImOHIQmTvH1yp4Hzi0SDqo/Ao8BkX+GWmJGgkCOx4cbe/nllwHU/VX0CBQhUtuNJNhmpvgZGV2Itnvn7dq1K/RFVuFNtOtqHU/xNcimT19EyqJ9RT7uyjlEOcqVivh21MAj2vVJYSI1I6kvuQuNGuTHpioqPzeFp4Lqncix+vuiqko/DzV0iaIEESrAjAyJ2K/nqDgmrefXgeU1ElBZLAYVfgJ1oS/nGAkgVWgbxYLQCEseXDP1wAPqxjzRHHUeRETxW8kQTWSKn5HRhejIGZ/pjIDmENERFeQ1jZDiz99KmSLqo2G5IxNRNe/1O6v6rUdnSrajXnpF4wbi+G8E+/DtqP97RGH0TBsleeSa8bwaeceVRTuK4hIq9NzpqZJ6O/p7xmuUUUTGNcqVlUVPUlNX35feM88xqJdhFCGJcyKl1vXxnyNZA2U0VBGWJZfRZ9iXyWf8jIyMUrTdgGd4eDhMx8RdT2O9AcWpiqOoNGpc4vtQs1F/NuZvesb3u6jGgePZNDqTsYw3g1VDEX73EuIioxq/HlGyEUKj8xDRXIs4EF+mLLabGumUJTGNrisVjExtucYRxS9KFxZxJ+SqeK98O2VnYzUTj2IHcN6ag8/fe3KimqINqD/fnH+UMCaKCKVoJQEHkSl+RkYXIr/4GRldiLYn1Jg5c2aDUI1sK1la2i37/OEaoilCmVBPWWtV3fnPKjDywpgoLx/QKCTU8NoeyjaS/YyElMri+/Y4nygvPQVEKhiKAnqqIDMKaElE3mxl0PWLfN015JVnucmucz3V1t2Pu2xcaqylnni+jygZi8YziARufGYpqNaEKUCjehmoq5gBYM6cOQ3XtCzQfNRqhfUvQ6b4GRldiLZS/N7eXpx22mkNFJI7u4bQ9jsiKXSRFxQQC+OKwN3fC9WKIq34nVaDSnI8Xh2nAqYoco7u0pHPvnor+nY4NjX9BeqmrppAwoP1OUYKl/x6sH+uixc0sV+2Han8WJ8ciAq3fJuRGk2pcOR/rlQwMmHWtdZkJL7/Vkyw1XTXz5GgOa5PxcVnhevp78uZZ54JoNkrLxJkEpGBmb9+PGSKn5HRhWh7eO3x48c3UAbufGqo4aG7bpTWSVU6nnoRUWhk7aPoLAU0x+Vje1EiCc7H11dKW5T4EGimpn7sNPEkpfEUR9eKY47iHHKsEVdQ5mykVIaqqcjYieNW4xb/OaJwms+e6xKpuDifyCyYnIbO0cuC9Jnzc43MgBVcK0aPosOZb4f3nOvg4yTOmzcPQPMzHBkrqbwqx9zLyMhoGW2n+L29vSHl5U4VGVNw19Zzkqc8asDjd2hSJKVCnnpw11aHoCgCru6qEecRUXzu+ioh9vVbkWewPCm/5ziKkn96gxHlWKKU3qod8XIEdc6J3JxZn5F3I3dp5RyixCRlCU74XFAKzj792P28PSJtTdlZXyPxRo5ZmzdvBlB3s2UcSd8221m4cGFT22VxAbWdSPaSE2pkZGSUIr/4GRldiLbb6ptZ6AWmxhOehdHIJmWZTyM7Z7KEKlRTtt73r6G0/RjVpzryziOL6QVHmo8+Gj/7o8CO7LBvR2MW+KNTUdKQiG1UW3fvE6Fekl5YSpUh1VVR1CQVhnE9/JxVcBkZVPHesf/I54D987tn4zV3n4Ym9+OOBMut+LhzPciqc66e1ee9531dtmxZ7TcVYJZl640yE/t2WlXntf3Fzzi1cPfd8/CNb5yPV16ZgBkzDuP66x/HBRc80elhZZwgWnrxzWwqgC8BOB9AAvBbAJ4B8C0ACwBsBPBrKaU9BU2wHfT09DQIrlTAE+3Iikgoph54EaXmbkgq4gU/6hkVGQKpT3fkN12kTvPl1MMr8g3n2LhWkZqGlNKvYZFpqTd1pTBOzWl9nIT+/n48+OBifO1rF+HYsUqbu3ZNxBe/eBHe975deMtbnqlRWv6PwnxrzIAoCQrr+/uh3FQkVNO89ixTFjo7it6kIcQj71FCzZz9PMiVzJ49G0A9KzJQV9lREOkFqeqJGfnsq/GXcp+sd7LVef8FwD+llJYDuADAUwA+CWB1SmkJgNXV7xlvIHzve2+rvfTEwMAY/OhH/6JDI8o4WTguxTezyQD+JYAbACClNABgwMzeA+DyarGvArgTwJ+WtTU8PIyBgYEwOm5tQIGvvJ5voqiyWjbaNdXs0xu+aASgKPmGRpONKEQrOc41kaNfD+UGIhNRNTv1c6X6TJ18Tj/99FoZbZvr4Lms/fv3Y/fuWBW2Z88kHDx4sCFJpm/PQ8/6nrvh5yjOoqoco5zzqn6LuDW9FnGSqiKL5qEyE09ZuX6k5ny+Fi1aVCtD+UnkwLNr166GviJnNB3Ta3XOIVqh+IsA7ATwFTP7ZzP7kplNBHBmSmkbAFT/nxFVNrMbzexhM3u4TDedMfowZUqzl1jZ9YxTB628+H0ALgLwhZTSSgCHMAK2PqV0U0rp4pTSxZFpaMboxVVX3YExYxop9pgxA7jyytUdGlHGyUIrwr3NADanlB6sfr8FlRd/h5nNTiltM7PZAF4+XkNjx47FnDlzsHXr1to1srDeGw8oV7WRFYoCN0astgo8ogQQKjxSqzSg2H88Es6psNC3xTmrUMpfI3cUhbXiOpDV9qwhhXhUMfFY9OKLL9bKUIhGgRMFTWpVt2TJGlx77SDuuOMq7Ns3BVOm7MOVV66uSfXZLy0IaaMO1Nle3lcmi4jCpkdqOM0cS3VYpOblnKNYCJpXj/37viiU0zUH6vdKQ7r5MvrskK331o68V7TRnzZtWtM8VM0bhSnTYKHqu3DS1Hkppe1m9pKZLUspPQPgSgBPVv8+AuBvqv+/31KPGacU3vSmx/CmNz0mG2rryRkzRida1eP/AYB/NLOxADYA+E1Ujgk3m9lHAWwC8P7jNTJx4kSsWrUKzzzzTO3a008/DaAuINEkCUCzEEx3cY/IQ4vl1IDGC/A08GQkONOoJ6zjDWhUqBgJalQ4518q9UeIknZodBofsYXzZlQXrscLL7xQK8OIMeyfhiZR2jJe8xSKFJb3ccOGDQAauTZSeNYrE5ZyHl6dp89BWdBPFcx6qHBRjcD8NT5nUbZc9SD0z54+n7wHmzZtqpUhV3HhhRc2zNm3rc+Xv+fKtRbFdmgVLb34KaVHAFwc/HTla+o1IyOjo2ir5V5PTw/6+/uxcuXK2jUaOzz22GMA6kYk0Y6q5qe+jJrqRudm9erzah+NdadmlL4eEZ1Ni1I2AXVqrkZKnjshteEcSV0j7oZnSa8tUT92UhpvIkqQy2J9v2aa2MMb9ygVXbp0KYBGlSEpPWUM/O/b5X3h/8iTTu99FO5czZojOU+ZYZiueRRXQDk534fGYuR53quL1agniq6j3EykutTf9Hr2x8/IyChE21NopZQadilKlvmfEv+XXnqpVoYxzEhp6Bzizze6A0YmlaQ6kcOH+ntrPDjfpkbi8WBfmpDC11NtQBTBthXfbE255MerSSejNF2UMJcZrLA9b/JL6rlgwQIA9fOq5wT0HrGMd/bRBKEeamIbaTdYn/eVlNtzQOocxDX3EneVGXmuRM//ZU5PBPv3BjyXXHIJgMbIO9q/th1FdiKi+BG9vb055l5GRkYx8oufkdGFaLtb7tDQUAM7orniyT4uXry4VkYDZ95+++0AgHvuuad2TVkh3wdZULKbZLW9sI5sYqQS8mMHmlUpkcquLGOrChI9a0rWkqw1WVtfhiy+5hsEmnMAaiZXP26Oh+xw5EnIMXp1nB6rqE7049AYCJE6TtvxRwUV3EXBLpV9L7O11z79OFrJR8fnI4orwPlzjc877zwAwJVX1pVeTBAThUtvZRx61NHgm6yfhXsZGRmF6EggjihSC3dimn9G4Y+j1FeECrU8xVVKG6nhtKxSTl9fzTe9wYcannjKoklDSLH97q+GO6QivgzradILf00jG3kKpd6BZdlquY6RylD7iIKoqpDUUyR+Vmrq56sqvygjL8fNOj6SkBreRBF1NBOuv5/KHXFdvHCQ10jhL7vsMgCNnCq5tMiDUL0My9JjFfnls34W7mVkZBSi7eo8pbKq0opCJKtDQrQTqmmr70cpXGQSyT5I6VvZOaNxkBpHXIme7fnfUw+OmxQi8sfXM7FX6agRijqn+LGpPKMsMUcUD0Db8yo/rV+WJsvX0z70HB+pPvXZiQxwtEzE7UXj0HKUWZx77rm1awyVfdZZZzX0Gc01umcKjfQENDvp6P0FcnjtjIyM46DtCTXUFJRQqW9kKqtUtFUJZlG5KHGi/laWdovwEm9SjcjghH3wvMyyntJGXIC/Hl2LohVptB8/Rs5J00NFZtKEN7JRbkipqW9LKbWXFbAdjs1TXLoKsx2e/yOZi553fTvK5akzFtBMPSNujfdo+fLlAICLL667rlCmoBxDmSFQ9EyWcQFFZdVQLUv1MzIyCpFf/IyMLkRH1HmeldIwypHgLQpjDTSyaypwiqLSaNko956G3vbslwr+OC7fvqqoosQe/C1S5+lRQVl+32ZkbMQ5kbUkWx+x+sdLzgA0C5V8Pf4WscY67sjnQDPo+vnQKEYj73hbdz2icM7R0Yttq2GUh5bxY+PRg/1HiUH0GfZz1ec8WnN9zv0YWV/HrQK9rM7LyMgoREcofiREUsOZSPiiRiUeKryJjFqK6gDNasQoe6+2ozHfgGZhoFeDKYXXaDvR2MpCeEcZZNVgp4y7UepB6go0C488V6LedFG0IhXYRVRdDW/8HDVij6pCfX2lsJEAUeMj+OcrSrumfZDSRya7BOcaCbCjCESExoBoBZE6j96vrSBT/IyMLkRHKH5ZsowoaSZ3QlVNReesaMdTg4jojKzUU8cDtBa/TctEDjhFcfWicagBChBzPAqOm/+9OSzbZKSYiHPgGZ3r6c1giTL1E39TeYKvQ24oonSq+iT8OqjKLzLe0hgIkVxG247MgvUZjOQaGoPBz1XP6H7OmoQ1KkPoXKPxt4JM8TMyuhBtN+BRSXSRQY+/rufMssg3UQouPQNG0mh1l4zGxTZJqaJ4eJG5JaEOIup66svoHP0ZUcu0Ynjj63NsbEdjxgH1My3lEpH5aJHJbDTXsiSkkcyBHAflDtE5nOunpr/+3mnswSh2PscaGcXofeB4vCxHn8sybUmk3dB1KIvAoxzySIx+PDLFz8joQuQXPyOjC9F277yBgYFC9t4jYoXIEiv75xEl2yB7pXbsZaGzoyCTatseqboiDzGC/ZPtLjP0INTGG6iz79GRR5M6sGzUB+dGIZ/vg+PXVFZAo9rPj8P3ofbrrfiW+/novY1s3DVNFxGpLtXYx5fRDLZ+HfhZQ4CX+UdEzyXvRxT9ST1Ly3wGylj7kQj3OiLVzxj9eP75VVi37l/h0KEZOO203bjkkh9g6dKHOz2sjJOEtr/4PT09DVRNPe/KEgYSpEJexUTKolFlPLgTUzATxX/TKD9RKi4VAnnBWVE6JN+vji2KNafRgrwhkK5ZJFRjGV0X358aS7Hsxo2X4qGHbsDQUGW8Bw/OwB13XI9x4/px3nmPNHFcnL/3MlTOJVKPch0j45aiJKiRIFUFgd5cmONQE2Q/Pr2f0RhJ6SkkLIt6RERxAaLnWw141PTXQ1XI/r6OHTs2m+xmvHY8+uiv1156YnBwLO6+++oOjSjjZKPt6jw9S6uKLdrltAxVTWVnIE8FNZprFFGXfZBaROmcVI1HeIql6sqIsiiF8KohNULR1NxAs4FH5M/PJCSR2keTbjL1Fcd6+HA9FZbH/v1TcejQoaaoxdpuNNeIqvNZUAcpoFmdGqWFLnp2ogQjKueJ1HmRubhS/LIozGWUWq9FBlllSTtUfqAyg5EiU/yMJkyatGdE1zNOPeQXP6MJl156G/r6Gk2P+/qOYtWqWzs0ooyTjbYL91JKIwoK6KH20h7qnRdZs6ngLfK8i7Lt+rF7ROG+1afas8NqIaZhqv08CFX1RPW8MEsFTBybPw7oPKgO41gnTdqCN795J5566sM4cuR09PfvxIoVX8f48Xdj06ZmASTvh2eD9UjXSoZif7xSj0ydD9DM2ke571RIq/kPff9EFF571qxZAOoCRL+GrQTQjJ45haoVI5VfpIr29Vv1zsvqvIwQ8+bdjXnz7m46/3YCzzzzFtx//7tx4MA0TJq0B5dd9kOce+66jo3njYC2C/eKgv5H9t6E2sizDDPsAsCWLVsA1HfGKHEDURZiWY1rIr9tlomSVagwzu/wpMx79lTOyswoSwOaHTuuxPiFOs0AABCgSURBVMaNN+Lo0TMwbtzLWLDgJsyZc2dTO0WZU33/atvuqRHt1TkPfvfcCdc68idQQV3kT84yrBdlGOa1KDAp6z3zzMVYvfrXMDhYKXvgwHT89Ke/hp6eHixZ8hCA4gg4vm3lDrwgUQ1mfH1yQ5rltsy7L/qu3pL+fij1LsuQXBaFaiT+/PmMP0qwY8eVeO65T+Do0VkAenD06Cw899wnsH37FZ0eWkdx333X1F56YnBwLO69910dGtEbA2032R0eHg7PeWXQczcpxYwZM2pllIqXeYNF3zWiSZSKi9AQzZGJZ5SrPYo0wzobN96I4eFGSjo83I/1638LY8feEqp/otDf7Dfy9VdwzjyjR/H9IpNbjW3HcUTj4TXeH290VcYN8POBA9PCse/fP7XJHDlKe6acW5SURY8x/jcmu+S4NSWXh6pio3FEz5Oa/EbmyXx2ytpp9XwPZIo/anD06Bnh9WPHZrV5JKMLkyfvHdH1jNbQ8YQaKoktczQghaFkdf78+bXfeBbjudlTFjXiiBIOEtxZI4MR3Zk5nsg0U8+4vm2O1ad1Xrt2Lw4cmN40nnHjXsb06c3XfR+N5WPf9GgemsoriuvHsXpqXJTKO+IY6EjDddmxY0dTGa61TzLJ6DqXXPIDrF79gQZ2f8yYAVxxxU+bJP8RxYscb4B4PSLuaObMmQDqGocoXkJRajfPUWosSC+zUYOsooi6vl+vefA4qTH3zOzfm9kTZva4mf0vM+s3s4Vm9qCZPWdm3zKzYpOmjOMi0p339LyKRYu+1KERjQ4sX74OV175TUyevAdAwpQpe3Httd/Hm970WKeHdkrjuBTfzOYC+BiAFSmlI2Z2M4APALgGwOdTSt80sy8C+CiAL7yuo30DY9mytQCAe+55Fw4fnoH+/p1YuvQfMGPGzzo8ss5j+fJ1WLnyKQCdVSu+kdAqq98HYLyZHQMwAcA2AFcAuL76+1cBfBon4cWPhH1FwQgpeAHq9uY7d+4E0Khu0XBcUR8q+Iu869QbrkzAEx0nOA61xSar/eY3P44lS9YAqBvcHDlSmWOUUbdMyMf1IMpyAJYl7YiCbBIcY8Tqcv149NIYAL4e5++PRQz5RZ8DDW8NNAfSjIKfqicmx1Um9PR9kNXXZ6YshkKkjiszRCry6mvFvz4KMdcKjsvqp5S2APgcgE2ovPD7AKwFsDelxNXbDGBuVN/MbjSzh83sYeqvMzIyOotWWP1pAN4DYCGAvQC+DSBSooZShZTSTQBuAoDzzjsvAbFgRQ0sInNFFX54o4pFixYBANavX99QB2hWF5WlhdKILb6Mspnqw+8RcQMqeIuEShRwcaz8TiGZH1vk415kxhoFqeRcVXDloWG+fR8UskbqK86RKldScG9uzbYpyON/P2/1tvRCLfX8iwSZqp6NwLmxzLRpdRUiucqigJj+mnKWkTouEr61IpBTrjeK7dDX13dS/fHfAeCFlNLOlNIxAN8FcCmAqWbGt3MegK0t9ZiRkdFxtHLG3wRglZlNAHAEwJUAHgZwB4D3AfgmgI8A+H4rHaoBT1l8MUKjl3CX87HW6EQR5VpXihQZjGjZyKlEfeQj1UpZqiQ1g43OtmqWzLKeq9i/fz+AOC4gqbAaekRnay0TGQmRUpedSSOogQnHFZnskgvw8gSWVyoeRU2Kko5oGSJKmqnP1+LFi2u/zZkzJ6zv56fcQKRqU5mPN9NVdbMaiEXziJJunFQDnpTSgwBuAbAOwGPVOjcB+FMAf2Rm6wHMAPDllnvNyMjoKFqS6qeU/hLAX8rlDQDeNtIOabZLFFH6MgllRHGKIvsAxUkuonOaygHKXHeVAwDqu32U2EPPy5HZJdtqRerMvrzEXs+rUeroIkrpz9/qOOK/kxqrsZNfT7bFMpru2l/jukSaB+UIo/iGvEdRCiy9V5G7L6k4NSGUFwHNSTcjuUxRXMDoHkaci8qIonmoeXj0DozELTeb7GZkdCGyP35GKTZsuASPPPJ+HDo0HRMmvIILLvgWVqx4pNPDyjhBtP3F7+3tDQ0blLWPPPhUQBKxNSMJeFiWV17b81B2LWKjo/zl6rnXiodXkdrG1/esoqoKozDVmvNPg5ACFda2Emb7t2oRdw8fnomHHvpt9Pd/Deec81CNndeIPP4z1XJlgTDJ8kfGTt6fwdfx9bS9suNZmXcehXre6zNKmuKvR32U5b6LhNnK2pfl8CuK0MQyObx2xgkjCrM9NDQOa9a8t0MjyjhZ6EgKrbKsqoSnDPQaUyGI392Kdn8gDqcNxCqqyGBFob/5XbdMpaNCtUitqKmvIs5BBU1lyUeiMuyDprpcX2+6O2nSJBw+XKd8HgcPTsfw8HBTBJ2Imis3EKXJirgtpXpRZCWqNVVIGcUOUKGnL0MKv3z5cgCNhkRckzJzb1XvlgnYNM4g0MydlaVWK4sTMRJkip9RiAkTXgmvT5wYX884ddCRmHuRqk13/ciXmShLOBAZvLQS5Ucdb6KzYJHhS2RGGp1pNcd5FM1FKWTUjlKWiGtSFZufh17TaLnEypXfxoMPfhSDg3V2v69vAJdeehv6+/ubzquRWbC2Hd17TXPlP6s6rcyPvSw6jlJhv54rVqwAACxcuBBAIwen5/VIdqT3KorM1IrpsEaBjuQARGQuPjAwkKPsZpw4Fi58AGPHjsWaNe/FwYPTMWnSHlx66W0455ycPPNUR37xM0qxZMkaLFmypkFzMQLvz4xRio4E2/TsiAq4ItZUbZcjNlzZ1jJ1YBl0PJ59VTYtssJSb7JIHUiBUWSpxrZoI+/DURHKynrBpgpCNScg0JzAgnX8feFcy45OKtSLVJcquPLtaK76sjBnkQqX9VQA5++HqkepyvTWeStXrmxoL4rloF55Zd6OkR09ER0DigKC+rkWWbhGiTVaQRbuZWR0IdpO8ZVqalqpMsFMmZGP2i57ylKUaz2CthNRD23HC5xUdeh3ZK3HtVDDGd8vKY7nHJR6lsU3iGIPKDcQCd7IjUSqNg2nXWQ37utFZZQi+nXUsN7RPEjpVdgacWCMZ0Au59JLL62VmT17NoD6fSjzPiyj2EXf/dzKhLU6V78eZULB14JM8TMyuhBtF+55ww+gOOxxmX9+ZJTC3ZpnY09plfpGZ0E1mInOcoTu2pGKin1FCT713OjBXZ7CNLbjKb6qcspUjpEHYZFXm++D4448G9XzUNOORePQ6EMeETVTQ5soMhOh6k2/rnr+X7VqFQBg6dKlTX2VJUptJQYBocZCHtGzWyQ7it6Bovh8QGX82TsvIyOjEB1Jk+13uCIDnjIJfETpNMqO3xn1LByZ1Wpa6zKpPFEm+Y/McdXxJIrrR0qru72nlKSwkfmmmrhGFFYz4GoqLY8oKm3ReTPSCmj9Mk2M5wSVCkfPg3JyXEd/X6mxoOSeZ3uvntSkG74vfdbKxqOx9yInm0gKXyQHibgMPf+3IvmPkCl+RkYXIr/4GRldiI5Y7nkWpsgm3Qta1A6f35msAQA2b94MoDkclAeNYSLPOfVjJyJWXw0uInZe7dD9uNmHhqf2ZYhIOKfCSd8Hr3HcUXBJZV8jQyJN9hElbuD4NYuxnyN/8+HBCa6Vhuny0PsRHRVU4MdEHwCwYMECAMA73/lOAM1hyzwida9mNo488PR50PDnWl6/K9seCQf1qPBahI4emeJnZHQhOmKyGyVeINWJKLaqhvidyTMAYMOGDQ31PaLUSkBMqZVCRlRAxxGZB0fz0OhAkaqO0Ey8nkJoBB8/RlIPUr3I+Ilj0vDWUeQanbOft4YLjzwRFZGRENuJQk6z7UiYxbZUyOc5GEbVoY99FMhSw4t7KhpF09Hves81tgMQCzeJIgO1iLshIkqfUsrqvIyMjGJ03DtPz4JRGiRVW3H347nef1YnGV9PKV20o5L68L8/ZxWZqJZxBb4Pnhe1fhQdp8zRQ9WCfoxqxkr49eDZnNdUlenHyDJ61vV9cP40nvL1OJ+yNF2RfEUNmMriEyp8Wcp1IpkPwfWLnL+KIjKVqSX1rO8RqRyVc2zFmSxSW4/kvJ8pfkZGF6LtFH9oaChMaElo6mStCwDbtm0DUD/XA/UzLSmL7yNKVeXbA+o7qLqqRmbBKrmPEjhEqZLUOCdy+tEUXJHBCClzmTGJzquV82bkOBJ9VwodJcQs0tKUuTBH2g2lohEHxjLUHHjOxSdWBer31ZdR7iziwIpiAHpolJ0yk1v/LKpsQMflocZGvk422c3IyChFfvEzMroQo8YfvyyfnNq979y5EwCwdWs9M3crfv1EJBRSljgywihSt/gxq+DQs15kidW7zbOdyr5HAhsK8LhmXvBGdluPFWVHJ/W992OMWHQeR9SAyAusNJGGegseD0Xl/FqrQJZHEJ/f3mdU9mP2a6bPir9nbLMooKYvr79FqseIrVf2XJN/+DIqAGwlD2WETPEzMroQNpKc2ifcmdlOAIcA7GpbpycHp+PUGzNwao47j/nEcHZKaebxCrX1xQcAM3s4pXRxWzs9QZyKYwZOzXHnMbcHmdXPyOhC5Bc/I6ML0YkX/6YO9HmiOBXHDJya485jbgPafsbPyMjoPDKrn5HRhcgvfkZGF6JtL76Z/YqZPWNm683sk+3qd6Qws/lmdoeZPWVmT5jZx6vXp5vZT8zsuer/acdrq90ws14z+2czu636faGZPVgd87fMrNg3tQMws6lmdouZPV1d70tOkXX+99Vn43Ez+19m1j/a11rRlhffzHoB/DcA7wKwAsAHzWxFO/p+DRgE8McppXMBrALw+9WxfhLA6pTSEgCrq99HGz4O4Cn3/bMAPl8d8x4AH+3IqIrxXwD8U0ppOYALUBn7qF5nM5sL4GMALk4pnQ+gF8AHMPrXuhEM1/N6/gG4BMCP3fdPAfhUO/o+CWP/PoCrADwDYHb12mwAz3R6bDLOeai8KFcAuA2AoWJN1hfdg07/AZgM4AVUBczu+mhf57kAXgIwHRVfl9sAXD2a1zr6axerz8UiNlevjWqY2QIAKwE8CODMlNI2AKj+P6NzIwvxdwA+AYBeGzMA7E0p0dtltK35IgA7AXylejz5kplNxChf55TSFgCfA7AJwDYA+wCsxehe6ya068Vvjh8FjGo9opmdBuA7AP4wpbS/0+Mpg5m9G8DLKaW1/nJQdDSteR+AiwB8IaW0EhUfjlHF1keoyhzeA2AhgDkAJqJyhFWMprVuQrte/M0A5rvv8wBsLSjbcZjZGFRe+n9MKX23enmHmc2u/j4bwMudGl+AywBcZ2YbAXwTFXb/7wBMNTP6sY62Nd8MYHNK6cHq91tQ2QhG8zoDwDsAvJBS2plSOgbguwAuxehe6ya068VfA2BJVfI5FhVhyK1t6ntEsIoz9ZcBPJVS+lv3060APlL9/BFUzv6jAimlT6WU5qWUFqCytj9LKX0IwB0A3lctNtrGvB3AS2a2rHrpSgBPYhSvcxWbAKwyswnVZ4XjHrVrHaKNQpFrADwL4HkAf95p4UbJOH8JFTbtFwAeqf5dg8qZeTWA56r/p3d6rAXjvxzAbdXPiwA8BGA9gG8DGNfp8clYLwTwcHWtvwdg2qmwzgD+I4CnATwO4GsAxo32tda/bLKbkdGFyJZ7GRldiPziZ2R0IfKLn5HRhcgvfkZGFyK/+BkZXYj84mdkdCHyi5+R0YX4/wFkIW6zlkar4wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 5 examples for test data\n",
    "for i in range(30,35):\n",
    "    for j in range(0, 15):\n",
    "        plt.plot(tpoint_data[i][j][0],tpoint_data[i][j][1], 'bo')\n",
    "    plt.title(\"test example:%s\" % (i+1))\n",
    "    plt.imshow(X_test[i].reshape(96,96), cmap='gray')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [],
   "source": [
    "look_table = pd.read_csv('IdLookupTable.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 27124 entries, 0 to 27123\n",
      "Data columns (total 4 columns):\n",
      "RowId          27124 non-null int64\n",
      "ImageId        27124 non-null int64\n",
      "FeatureName    27124 non-null object\n",
      "Location       0 non-null float64\n",
      "dtypes: float64(1), int64(2), object(1)\n",
      "memory usage: 847.7+ KB\n"
     ]
    }
   ],
   "source": [
    "look_table.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(27124,)"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lookid_list = list(look_table['FeatureName'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "imageID = list(look_table['ImageId'] - 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "pre_list = list(pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [],
   "source": [
    "rowid = list(look_table['RowId'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature = []\n",
    "for f in lookid_list:\n",
    "    feature.append(lookid_list.index(f))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "34.051384"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pre_list[0][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "preded = []\n",
    "for x,y in zip(imageID, feature):\n",
    "    preded.append(pre_list[x][y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [],
   "source": [
    "rowid = pd.Series(rowid, name='RowId')a\n",
    "loc = pd.Series(preded, name='Location')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [],
   "source": [
    "submission = pd.concat([rowid, loc], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "submission.to_csv('submission.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
